qspec.analyze. King.plot  (  mode = '' ,  sigma2d = 1 ,  scale = None ,  add_xy = None ,  add_a = None ,  font_dict = None ,  show = True ,  ** kwargs  )[source]

Show the King plot using matplotlib. The King plot is based on the modified axes King.x_mod_nd and King.y_mod_nd as well as the fit results King.results_nd.

Parameters:

modestr

The mode of the King plot. If mode == 'radii', the differences of mean-square nuclear charge radii $\delta\langle r^2\rangle^{A,A_\mathrm{ref}}$ or $\Lambda^{A,A_\mathrm{ref}}$ are expected for the $x$-axis, else isotope shifts $\delta\nu_x^{A,A_\mathrm{ref}}$ are expected.

sigma2dint

Whether to draw actual 2-dimensional uncertainty bounds or classical errorbars. An integer number corresponds to the number of drawn sigma regions.

scaletuple

Factors to scale the $x$ and the $y$-axis.

add_xyarray_like

Additional $x$ and $y$ data to plot. Must have shape (n - 1, k, 5), where n is the dimension of the data vectors, k is the number of additional data points and the five entries in the last axis correspond to arrays of the form [x, x_d, y, y_d, corr_xy].

add_aarray_like

Additional mass numbers for the additional data. Must have shape (k, 2), where each row is a tuple (A, A_ref).

font_dictdict

The font_dict passed to matplotlib.rc('font', font_dict).

showbool

Whether to call plt.show().

kwargsNone

Additional keyword arguments.

Returns:

outNone